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ECAI 2012

Introducing Datatypes in DL-Lite

Conference Paper ECAI Long Papers Artificial Intelligence

Abstract

In Description Logics (DLs) and in the ontology-based data access (OBDA) scenario, the use of actual datatypes (such as those adopted in DBMSs) has received only limited attention, although datatypes, with their predefined semantics, might have a substantial impact on the computational complexity of inference in ontology systems. In this work we aim at overcoming these limitations, and study the impact of adding datatypes to the OBDA scenario. To this aim, we introduce a language for datatypes and we define the notion of a datatype hierarchy, constituted by a set of datatypes that depend on each other. We classify hierarchies in three classes according to their distinguishing properties, and we establish a theoretical framework for datatypes in the OBDA scenario, based on three major components: a DL, a class of datatype hierarchies, and a query language. We establish the computational complexity of query answering for various significant instantiations of this framework, as ranging from FOL-rewritable to coNP in data complexity.

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Context

Venue
European Conference on Artificial Intelligence
Archive span
1982-2025
Indexed papers
5223
Paper id
701596074106237749
v2026.09.13